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Exploring Gradient Descent in Machine Learning

Gradient descent is a fundamental technique in machine learning. It aids models to refine their parameters by iteratively minimizing the cost. This approach involves determining the gradient of the error metric, which highlights the direction of steepest ascent. By moving the parameters in the opposite direction of the gradient, the model finds a o

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